Periodic Reporting for period 1 - Cynergy4MIE (Leverage synergy by cyber-physical systems for the convergence of the eco systems mobility, infrastructure and energy in the circular economy for the Society 5.0)
Période du rapport: 2024-09-01 au 2025-08-31
Cynergy4MIE is a project designed to revolutionize Europe's industrial landscape by connecting foundational technology layers, cross-sectional technologies, and key application areas. The project seeks to efficiently utilize resources and create synergy across ecosystems, addressing the need for collaboration and resource optimization. Cynergy4MIE actively manages requirements from various key application areas to steer developments in foundational technology and cross-sectional technologies, which will enable faster time-to-market, efficient resource utilization, and enhanced technological exchange. The project's long-term goals incluembracing urgency, fostering resilience, strengthening technological partnerships, harnessing ecosystem synergies, promoting cross-domain integration, advancing AI competence, prioritizing sustainability, enhancing productivity, and ensuring user-centric digitalization while forming strategic alliances to secure Europe's position as a global technology leader. The project envisions emergent cyber-physical systems serving human-centric needs and driving domain convergence.
During the first reporting year, the project has made solid progress in foundational activities and early technical development, while maintaining strong governance and communication structures.
- Requirements and Design: WP1 successfully defined requirements across all Supply Chains, with most deliverables near completion (except SC3, which is delayed but under active coordination). WP2 advanced system architecture and modeling, establishing templates and processes for consistent outputs. WP3 began hardware conceptualization and component definition, progressing according to plan with no major risks.
- Development and Integration: WP4 started in M10 and is actively developing algorithms, embedded systems, and simulation frameworks. Early prototypes and federated learning setups are in place, with minor risks identified but mitigated.
- Pending Work Packages: WP5 and WP6 have not yet started, as planned for later phases.
- Dissemination and Exploitation: WP7 delivered strong visibility through branding, website, social media, publications, and events. Exploitation and standardization activities are well underway, with 46 project results identified.
- Management and Ethics: WP8 ensured robust project governance, financial distribution, and risk management. WP9 established ethics compliance frameworks, delivered key workshops, and clarified GDPR/DPIA requirements.
Overall Status: The project is broadly on track, with strong progress in requirements, architecture, and initial development. Key dependencies between WP2–WP4 are functioning well. Risks are mainly related to delayed contributions in WP1 (SC3) and technical complexity in WP4, but mitigation measures are in place.
Next-Year Outlook: Focus will shift toward full-scale development, integration, and validation, with WP5 and WP6 kicking off, WP4 moving into advanced prototyping, and WP3 delivering hardware components. Dissemination and exploitation will intensify as demonstrators mature.
- Requirements and Design: WP1 successfully defined requirements across all Supply Chains, with most deliverables near completion (except SC3, which is delayed but under active coordination). WP2 advanced system architecture and modeling, establishing templates and processes for consistent outputs. WP3 began hardware conceptualization and component definition, progressing according to plan with no major risks.
- Development and Integration: WP4 started in M10 and is actively developing algorithms, embedded systems, and simulation frameworks. Early prototypes and federated learning setups are in place, with minor risks identified but mitigated.
- Pending Work Packages: WP5 and WP6 have not yet started, as planned for later phases.
- Dissemination and Exploitation: WP7 delivered strong visibility through branding, website, social media, publications, and events. Exploitation and standardization activities are well underway, with 46 project results identified.
- Management and Ethics: WP8 ensured robust project governance, financial distribution, and risk management. WP9 established ethics compliance frameworks, delivered key workshops, and clarified GDPR/DPIA requirements.
Overall Status: The project is broadly on track, with strong progress in requirements, architecture, and initial development. Key dependencies between WP2–WP4 are functioning well. Risks are mainly related to delayed contributions in WP1 (SC3) and technical complexity in WP4, but mitigation measures are in place.
Next-Year Outlook: Focus will shift toward full-scale development, integration, and validation, with WP5 and WP6 kicking off, WP4 moving into advanced prototyping, and WP3 delivering hardware components. Dissemination and exploitation will intensify as demonstrators mature.
During the first reporting year, the project delivered several advancements that go beyond current industry and research standards:
Cross-Domain Requirements Harmonization: WP1 established comprehensive, interoperable requirement sets across six diverse supply chains, integrating cybersecurity, V2X communication, and advanced KPIs for validation. This level of harmonization across domains such as automated machinery, robotics, e-drives, and energy systems is rarely achieved in comparable projects.
Advanced System Architecture and Simulation Frameworks: WP2 introduced unified architecture templates and iterative design processes enabling seamless integration of hardware, software, and AI components. The creation of living documents for architecture and simulation environments ensures traceability and adaptability, surpassing traditional static design approaches.
Federated and Distributed Learning for Edge Applications: WP4 initiated pioneering work on Distributed Continual Learning (DCL) and Federated Learning for battery health estimation and multi-agent coordination. These approaches enable privacy-preserving, scalable AI models across heterogeneous platforms, which is beyond current centralized learning paradigms.
Hybrid Testing and Fail-Operational Concepts for ADS: WP4 developed early proof-of-principle implementations for hybrid testing environments combining real-fleet and virtual ECUs, addressing latency and synchronization challenges. Additionally, fail-operational software concepts for automated driving systems introduce resilience mechanisms that exceed conventional safety architectures.
Multi-Agent Cooperative Sensing and SAR Integration: WP4’s integration of satellite radar (InSAR) data with UAV/UGV cooperative perception represents a novel fusion approach for emergency response and swarm intelligence, extending sensing capabilities beyond current ground-based systems.
Energy Efficiency Innovations: WP4 initiated advanced converter control logic simulations and heat pump interaction models, laying the foundation for next-generation energy distribution systems with improved adaptability and efficiency.
Cross-Domain Requirements Harmonization: WP1 established comprehensive, interoperable requirement sets across six diverse supply chains, integrating cybersecurity, V2X communication, and advanced KPIs for validation. This level of harmonization across domains such as automated machinery, robotics, e-drives, and energy systems is rarely achieved in comparable projects.
Advanced System Architecture and Simulation Frameworks: WP2 introduced unified architecture templates and iterative design processes enabling seamless integration of hardware, software, and AI components. The creation of living documents for architecture and simulation environments ensures traceability and adaptability, surpassing traditional static design approaches.
Federated and Distributed Learning for Edge Applications: WP4 initiated pioneering work on Distributed Continual Learning (DCL) and Federated Learning for battery health estimation and multi-agent coordination. These approaches enable privacy-preserving, scalable AI models across heterogeneous platforms, which is beyond current centralized learning paradigms.
Hybrid Testing and Fail-Operational Concepts for ADS: WP4 developed early proof-of-principle implementations for hybrid testing environments combining real-fleet and virtual ECUs, addressing latency and synchronization challenges. Additionally, fail-operational software concepts for automated driving systems introduce resilience mechanisms that exceed conventional safety architectures.
Multi-Agent Cooperative Sensing and SAR Integration: WP4’s integration of satellite radar (InSAR) data with UAV/UGV cooperative perception represents a novel fusion approach for emergency response and swarm intelligence, extending sensing capabilities beyond current ground-based systems.
Energy Efficiency Innovations: WP4 initiated advanced converter control logic simulations and heat pump interaction models, laying the foundation for next-generation energy distribution systems with improved adaptability and efficiency.